Curated Overview of Plasticity Loss in Deep Reinforcement Learning

Explore our curated list of Plasticity Loss papers in Deep Reinforcement Learning and contribute to the growing resource at Probabilistic and Interactive ML, University of Vienna.

We are excited to announce a new repository focusing on the topic of Plasticity Loss in Deep Reinforcement Learning. This collection of papers and implementations aims to provide a valuable resource for researchers and practitioners interested in this rapidly evolving field. If you wish to contribute, have feedback, or suggest a missing paper, please consider raising a pull request.

Visit the repository here: Awesome Plasticity Loss

Tags: Plasticity Loss, Deep Reinforcement Learning, Paper Collection, Machine Learning, University of Vienna